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- Tasks: Lead the development of innovative AI-driven banking solutions in a collaborative team.
- Company: Join JP Morgan Chase, a trusted leader in transforming digital banking.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact on the future of banking with cutting-edge technology.
- Qualifications: Experience in back-end software engineering and AI integration is essential.
- Other info: Be part of a diverse team focused on delivering exceptional customer experiences.
The predicted salary is between 48000 - 72000 £ per year.
At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact.
As a Lead Software Engineer at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in a team focused on the delivery of a leading-edge technology stack underpinning our customer servicing capabilities.
Job responsibilities:- Deliver end-to-end solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices.
- Design and build solutions which leverage generative and agentic AI to better support our customers and stakeholders.
- Use domain modelling techniques to allow us to build best in class business products.
- Structure software so that it is easy to understand, test and evolve.
- Build solutions that avoid single points of failure, using scalable architectural patterns.
- Develop secure code so that our customers and ourselves are protected from malicious actors.
- Promptly investigate and fix issues and ensure they do not resurface in the future.
- Make sure our releases happen with zero downtime for our end-users.
- See that our data is written and read in a way that's optimized for our needs and keep an eye on performance, making sure we use the right approach to identify and solve problems.
- Ensure our systems are reliable and easy to operate and keep us up to date by continuously updating our technologies and patterns.
- Support the products you've built through their entire lifecycle, including in production and during incident management.
- Formal training or certification on AI concepts and proficient advanced experience.
- Recent hands-on professional experience as a back-end software engineer and integrate AI solutions with Salesforce and Amazon Connect platforms.
- Apply foundational AI knowledge to configure, deploy, and support AI-powered servicing features.
- Collaborate with AI teams to translate requirements and ensure secure, compliant implementations.
- Experience in coding in a recent version of the Java programming language.
- Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance).
- Excellent written and verbal communication skills in English.
- Experience with cloud technologies and distributed systems, RESTful APIs and web technologies and knowledge of messaging frameworks.
- Seasoned with operating, supporting and the security of mission critical software applications.
- Understanding with different kinds of data stores (including relational data stores).
- Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions and manage stakeholders and effectively prioritize work across multiple work streams.
- Experience in working in a highly regulated environment/industry.
- Experience in implementing Azure OpenAI/Amazon Bedrock/Google Vertex.
- Seasoned with cloud-native microservices architecture.
- Proficient with AWS cloud technologies.
Lead Software Engineer- AI in London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Software Engineer- AI in London
✨Tip Number 1
Network like a pro! Reach out to current employees at JP Morgan Chase on LinkedIn or through mutual connections. A friendly chat can give us insider info and might just get our foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your AI knowledge and coding skills. We should be ready to showcase how we can leverage generative AI in banking solutions, so practice explaining our ideas clearly and confidently.
✨Tip Number 3
Showcase our passion for technology and problem-solving during interviews. Let’s share examples of how we've tackled challenges in previous roles, especially those that align with the responsibilities of a Lead Software Engineer.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re serious about joining the team at JP Morgan Chase.
We think you need these skills to ace Lead Software Engineer- AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Software Engineer role. Highlight your experience with AI, cloud technologies, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about the role and how your background aligns with our mission at JP Morgan Chase. Be genuine and let your personality come through – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your coding experience, especially with Java and cloud-native architectures. If you've worked with AI solutions or have experience in a regulated environment, make sure to highlight that too. We’re looking for problem solvers who can tackle challenges head-on!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at JP Morgan Chase. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest technologies mentioned in the job description, especially around AI and cloud-native microservices. Brush up on your Java skills and be ready to discuss how you've integrated AI solutions in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex issues in software development. Think about times when you’ve built scalable solutions or resolved performance problems, as these will resonate with the team’s focus on delivering reliable systems.
✨Emphasise Collaboration
Since the role involves working in a diverse and geographically distributed team, be ready to discuss your experience collaborating with others. Highlight any instances where you’ve coached team members or worked closely with AI teams to implement secure solutions.
✨Understand the Financial Sector
Familiarise yourself with the financial services industry and JP Morgan Chase's mission. Being able to articulate how your technical skills can enhance customer experiences in banking will set you apart from other candidates.
